serial dilution sources of error in measurement physics

This approach is relevant in aspects of selecting, optimizing, validating, and monitoring cell counting measurements that are fit-for-purpose. These quality indicators are based on precision of the method and proportionality of counts to dilution. From the experimental design, a set of quality indicators is derived to assess the performance of a cell counting method. Here we have developed a method for evaluating aspects of the quality of a cell counting method through the use of a dilution series experimental design and statistical analysis.

While true accuracy cannot be assessed for a typical cell count when there is a lack of an appropriate reference material, other critical aspects of measurement quality can be evaluated. (See figure belowĮvaluating the quality of cell counting methods in the absence of reference materials

The figure below depicts the precision and accuracy of the ideal cell count, a typical cell count, and an unacceptable cell count. While a typical cell count may have good precision, its level of accuracy is often difficult to assess, due to a lack of appropriate reference materials.

Utilize the fundamental property of proportionality of cell count to dilution as an internal control to evaluate cell counting qualityĪn ideal cell count achieves high levels of both precision and accuracy.

Dilution series experimental design and statistical framework to quantify cell counting performance, independent of measurement platforms and in the absence of a reference material and/or reference measurement.

Facilitate comparison between cell counting methods.

Provide analytical metrics to quantify cell counting method performance.

How can you evaluate the quality of a counting method in the absence of a reference material?.

Different counting methods can give different results.

Serial dilution sources of error in measurement physics